Title: Biquaternion Capon beamformer using four-component vector-sensor arrays

Authors: Xiaoming Gou; Zhiwen Liu; Yougen Xu; Xiaofeng Gong

Addresses: School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China ' School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China ' School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China ' School of Information and Communication Engineering, Dalian University of Technology, Dalian 610024, China

Abstract: A hypercomplex variant of Capon beamformer, called biquaternion Capon (BQ-Capon), is herein proposed for signal strengthening with four-component vector-sensor arrays. This BQ-Capon beamformer extracts the signal-of-interest (SOI) while rejecting interferences plus noise in a multiple-input-multiple-output (MIMO) fashion. Simulation results show that BQ-Capon beamformer outperforms the standard long-vector counterpart in convergence and sensitivity to mismatch in SOI steering vector.

Keywords: array signal processing; vector sensors; beamforming; biquaternion Capon beamformers; robustness; MIMO; simulation; signal-of-interest; SOI; interference.

DOI: 10.1504/IJSNET.2015.072864

International Journal of Sensor Networks, 2015 Vol.19 No.3/4, pp.171 - 180

Available online: 05 Nov 2015 *

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